Can Filtering in SQL and Python Produce Different Results?
I'm using Python and pandas to run a SQL query, then filter the returned data. For example: query = "SELECT customer_id, amount FROM orders" df = pd.read_sql(query, connection)…
null values
Why can filtering in SQL and pandas produce different results?
I'm using Python and pandas to run a SQL query and filter the results. For example, I can fetch every order and filter afterward with `df[df["amount"] > 1000]`,…
Why does 'false or null' return null, but 'true or null' returns true?
I'm trying to understand boolean values better, and I'm confused about why 'false or null' evaluates to null, while 'true or null' evaluates to true. Wouldn't they both…